Joint Bayesian Treatment of Poisson and Gaussian Experiments in a Chi-squared Statistic

نویسنده

  • Dennis Silverman
چکیده

Bayesian Poisson probability distributions for n̄ can be analytically converted into equivalent chi-squared distributions. These can then be combined with other Gaussian or Bayesian Poisson distributions to make a total chi-squared distribution. This allows the usual treatment of chi-squared contours but now with both Poisson and Gaussian statistics experiments. This is illustrated with the case of neutrino oscillations.

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تاریخ انتشار 2008